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Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
by
Smit, Adriana L.
, Rademaker, Maaike M.
, Meijers, Sebastiaan M.
, Stegeman, Inge
in
Bias
/ Candidates
/ Clinical medicine
/ Cohort analysis
/ Content analysis
/ Missing data
/ Patients
/ Quality of life
/ Questionnaires
/ Systematic Review
/ Tinnitus
2023
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Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
by
Smit, Adriana L.
, Rademaker, Maaike M.
, Meijers, Sebastiaan M.
, Stegeman, Inge
in
Bias
/ Candidates
/ Clinical medicine
/ Cohort analysis
/ Content analysis
/ Missing data
/ Patients
/ Quality of life
/ Questionnaires
/ Systematic Review
/ Tinnitus
2023
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Do you wish to request the book?
Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
by
Smit, Adriana L.
, Rademaker, Maaike M.
, Meijers, Sebastiaan M.
, Stegeman, Inge
in
Bias
/ Candidates
/ Clinical medicine
/ Cohort analysis
/ Content analysis
/ Missing data
/ Patients
/ Quality of life
/ Questionnaires
/ Systematic Review
/ Tinnitus
2023
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Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
Journal Article
Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
2023
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Overview
The presence of tinnitus does not necessarily imply associated suffering. Prediction models on the impact of tinnitus on daily life could aid medical professionals to direct specific medical resources to those (groups of) tinnitus patients with specific levels of impact. Models of tinnitus presence could possibly identify risk factors for tinnitus. We systematically searched the PubMed and EMBASE databases for articles published up to January 2021. We included all studies that reported on multivariable prediction models for tinnitus presence or the impact of tinnitus on daily life. Twenty-one development studies were included, with a total of 31 prediction models. Seventeen studies made a prediction model for the impact of tinnitus on daily life, three studies made a prediction model for tinnitus presence and one study made models for both. The risk of bias was high and reporting was poor in all studies. The most used predictors in the final impact on daily life models were depression- or anxiety-associated questionnaire scores. Demographic predictors were most common in final presence models. No models were internally or externally validated. All published prediction models were poorly reported and had a high risk of bias. This hinders the usability of the current prediction models. Methodological guidance is available for the development and validation of prediction models. Researchers should consider the importance and clinical relevance of the models they develop and should consider validation of existing models before developing new ones.
Publisher
MDPI AG,MDPI
Subject
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